照度不均匀图像的分辨率较低,高光区与阴影区会隐藏很多的图像信息。针对照度不均匀导致成像的不同区域存在不同的光照效果,提出了一种新的局部自适应Gamma校正方法,先使用K近邻法估计出图像中不同区域的合适的Gamma值,再对图像进行局部的Gamma校正。实验证明了该方法具有较好的校正效果。
Uneven illumination images have low resolution and the high light regions and the shadow regions of the images often hide a lot of image information. This paper presents a new local adaptive Gamma correction method to solve the problem that different regions have different light effects due to uneven illumination. This method uses the KNN(K-Nearest Neighbor)algorithm to estimate the most appropriate Gamma value in different regions of an image for local Gamma cor-rection in each of the different regions. Experimental results demonstrate that the proposed method performs better in esti-mating Gamma values and improving image quality.